OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Modeling electricity consumption using nighttime light images and artificial neural networks
Tomasz Jasiński
Energy (2019) Vol. 179, pp. 831-842
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Current and near-term advances in Earth observation for ecological applications
Susan L. Ustin, Elizabeth M. Middleton
Ecological Processes (2021) Vol. 10, Iss. 1
Open Access | Times Cited: 185

Measuring the coupling of built-up land intensity and use efficiency: An example of the Yangtze River Delta urban agglomeration
Linlin Ruan, Tingting He, Wu Xiao, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104224-104224
Closed Access | Times Cited: 57

A disaster-damage-based framework for assessing urban resilience to intense rainfall-induced flooding
Xiwen Zhang, Feng Mao, Zhaoya Gong, et al.
Urban Climate (2023) Vol. 48, pp. 101402-101402
Open Access | Times Cited: 36

Modelling monthly-gridded carbon emissions based on nighttime light data
Ruxing Wan, Shuangyue Qian, Jianhui Ruan, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120391-120391
Closed Access | Times Cited: 8

Satellite Observations Reveal Inequalities in the Progress and Effectiveness of Recent Electrification in Sub-Saharan Africa
Giacomo Falchetta, Shonali Pachauri, Edward Byers, et al.
One Earth (2020) Vol. 2, Iss. 4, pp. 364-379
Open Access | Times Cited: 58

Energy Demand Forecasting Using Deep Learning: Applications for the French Grid
Alejandro J. del Real, Fernando Dorado, Jaime Durán
Energies (2020) Vol. 13, Iss. 9, pp. 2242-2242
Open Access | Times Cited: 51

The estimation of building carbon emission using nighttime light images: A comparative study at various spatial scales
G. Wang, Qing Hu, Linghao He, et al.
Sustainable Cities and Society (2023) Vol. 101, pp. 105066-105066
Closed Access | Times Cited: 19

Spatiotemporal Variations of City-Level Carbon Emissions in China during 2000–2017 Using Nighttime Light Data
Yu Sun, Sheng Zheng, Yuzhe Wu, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2916-2916
Open Access | Times Cited: 43

Modeling the electricity consumption by combining land use types and landscape patterns with nighttime light imagery
Jiaxin Wang, Feng Lu
Energy (2021) Vol. 234, pp. 121305-121305
Closed Access | Times Cited: 32

Modeling the spatiotemporal dynamics of global electric power consumption (1992–2019) by utilizing consistent nighttime light data from DMSP-OLS and NPP-VIIRS
Ting Hu, Ting Wang, Qingyun Yan, et al.
Applied Energy (2022) Vol. 322, pp. 119473-119473
Closed Access | Times Cited: 24

Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis
Simiao Ren, Wayne Hu, Kyle Bradbury, et al.
Applied Energy (2022) Vol. 326, pp. 119876-119876
Open Access | Times Cited: 22

Remote sensing of night‐time lights and electricity consumption: A systematic literature review and meta‐analysis
Dipendra Bhattarai, Arko Lucieer, Heather Lovell, et al.
Geography Compass (2023) Vol. 17, Iss. 4
Open Access | Times Cited: 15

China's local-level monthly residential electricity power consumption monitoring
Mengbing Du, Jianhui Ruan, Li Zhang, et al.
Applied Energy (2024) Vol. 359, pp. 122658-122658
Closed Access | Times Cited: 5

A Case for a New Satellite Mission for Remote Sensing of Night Lights
John C. Barentine, Ken Walczak, G. Gyuk, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2294-2294
Open Access | Times Cited: 29

An assessment of global electric power consumption using the Defense Meteorological Satellite Program-Operational Linescan System nighttime light imagery
Linlin Lu, Qihao Weng, Yanhua Xie, et al.
Energy (2019) Vol. 189, pp. 116351-116351
Closed Access | Times Cited: 33

Ecological correlates and predictors of Lassa fever incidence in Ondo State, Nigeria 2017–2021: an emerging urban trend
Simeon Cadmus, Olalekan John Taiwo, Victor Oluwatoyin Akinseye, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

Estimating Rural Electric Power Consumption Using NPP-VIIRS Night-Time Light, Toponym and POI Data in Ethnic Minority Areas of China
Fei Zhao, Jieyu Ding, Sujin Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2836-2836
Open Access | Times Cited: 25

Downscaling satellite night-time lights imagery to support within-city applications using a spatially non-stationary model
Νικόλαος Τζιώκας, Ce Zhang, Garyfallos Chrysovalantis Drolias, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103395-103395
Open Access | Times Cited: 8

The characteristics and drivers of China’s city-level urban-rural activity sectors’ carbon intensity gap during urban land expansion
Ming Gao, Ke Ma, Jie Yu
Energy Policy (2023) Vol. 181, pp. 113725-113725
Closed Access | Times Cited: 8

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